Výsledky vyhledávání
- 1.0398349 - ÚI 2014 RIV DE eng M - Část monografie knihy
Kůrková, Věra
Accuracy of surrogate solutions of integral equations by feedforward networks.
Issues and Challenges of Intelligent Systems and Computational Intelligence. Cham: Springer, 2014 - (Kóczy, L.; Pozna, C.; Kacprzyk, J.), s. 91-102. Studies in Computational Intelligence, 530. ISBN 978-3-319-03205-4
Grant CEP: GA ČR GAP202/11/1368; GA MŠMT(CZ) LD13002
Institucionální podpora: RVO:67985807
Klíčová slova: surrogate modeling by neural networks * approximate solutions of integral equations * feedforward neural networks * model complexity * rates of approximation
Kód oboru RIV: IN - Informatika
Trvalý link: http://hdl.handle.net/11104/0225861 - 2.0389184 - ÚI 2014 RIV DE eng M - Část monografie knihy
Kainen, P.C. - Kůrková, Věra - Sanguineti, M.
Approximating Multivariable Functions by Feedforward Neural Nets.
Handbook on Neural Information Processing. Berlin: Springer, 2013 - (Bianchini, M.; Maggini, M.; Jain, L.), s. 143-181. Intelligent Systems Reference Library, 49. ISBN 978-3-642-36656-7
Grant CEP: GA ČR GAP202/11/1368; GA MŠMT(CZ) ME10023
Grant ostatní: CNR-AV ČR(CZ) Project 2010–2012 “Complexity of Neural-Network and Kernel Computational Models
Institucionální podpora: RVO:67985807
Klíčová slova: multivariable approximation * feedforward neural networks * network complexity * approximation rates * variational norm * best approximation * tractability of approximation
Kód oboru RIV: IN - Informatika
Trvalý link: http://hdl.handle.net/11104/0218068